Developer Onsite

Job Summary

Responsibilities

• End-to-End Ownership: Take full accountability for technical products, from initial business problem framing to final production deployment.
• ML Systems Design: Design and deliver industry-leading ML models and systems that meet rigorous operational standards and challenging SLAs.
• Strategic Innovation: Actively challenge current processes and stay at the forefront of AI trends to ensure our technology remains market-leading.
• Business Integration: Engage directly with business functions to translate complex commercial needs into elegant AI solutions.
• Hybrid Impact: Balance deep technical development (80%) with direct user support and feedback loops (20%) to ensure products meet real-world needs.

Qualifications

• LLM Specialization: Direct experience deploying LLMs in production.
• You should be an expert in prompt design, agentic workflows, evaluation harnesses, and RAG/retrieval pipelines.
• Inference Optimization: Deep understanding of the LLM stack, including KV Caching, Speculative Decoding, Parallel Decoding, and emerging test-time compute strategies.
• Software Engineering: Expert-level Python skills are required. Proficiency in at least one lower-level or enterprise language (C++, Java, or .NET) is highly preferred.
• Infrastructure & Data: Proven experience with SQL databases and cloud architecture (Azure or AWS).
• Theoretical Foundation: A "first-principles" understanding of machine learning fundamentals paired with the practical "scars" of building real-world systems.

Skills

• Java (Programming Language)
• .NET Framework, C# (Programming Language)

Benefits

• Medical
• Prescription
• Dental
• Vision
• AD&D
• Life Insurance
• Short-term Disability
• 401K Plan

Pay

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.

Schedule

Work hours: 9am to 6pm